User online dating love site
Watch out for inconsistencies and repetition too - if you’re talking to a team of scammers, they’re bound to forget what’s previously been said and slip-up occasionally.
After reporting the profile to the dating site, stop all contact and get in touch with Action Fraud on 03.
Jane*, a middle-aged woman from Warwickshire, had a lucky escape a few years ago when she very nearly handed over a sizeable sum of money to an online scammer who did in fact claim to be an engineer.
Her interest was initially piqued when he seemed to have a similar background and heritage to her and they chatted for almost two months, often exchanging messages for at least two hours an evening.
If you’re suspicious, turn to Google: search their name and “dating scam” or do a Google image search to see whether they’ve taken someone else’s picture or one that’s easily available online.
If you find the picture is a fake, report the profile to the dating site immediately.
Digital technology and smartphones in particular have transformed many aspects of our society, including how people seek out and establish romantic relationships.
Few Americans had online dating experience when Pew Research Center first polled on the activity in 2005, but today 15% of U. adults report they have used online dating sites or mobile dating apps.
The male profile is in his late 40s (48 is the most common age) with a high income.It was only when her money transfer was blocked due to a security alert around the man’s name that she realised something was wrong.Not long after, Jane discovered an ex-colleague nearby had been scammed by the same man at the same time and she’d had a very lucky escape.And it’s not just particularly vulnerable people who fall victim either.“[It’s] not the case that stupid people fall for romance scams - they can be very clever,” Professor Monica Whitty, a cyber-psychologist, explains. Scamalytics, a company which runs anti-scammer software for a number of the major dating sites, are trying to reduce online dating fraud by creating profiles of the average male and female con artist.